158 results about "Amplitude distribution" patented technology

The invention discloses an optical flux-inductance-energy integrated system and a transmitted waveform design method, and the method comprises the steps: carrying out the MLS modulation and OFDM modulation of an input original signal, obtaining an MLS waveform and an OFDM waveform, carrying out the amplitude distribution of the two waveforms, and combining the two waveforms according to a time sequence to form an MLS-OFDM AC signal; after the alternating current signal is subjected to digital-to-analog conversion, outputting the alternating current signal according to a set driving peak-to-peak value voltage, superposing a direct current component in the alternating current signal so as to carry out alternating current and direct current amplitude distribution, and outputting an analog electric signal; the transmitter converts analog electric signals into optical signals, and the optical signals are simultaneously connected with the information decoding module, the sensing processing module and the energy collecting module. According to the hybrid MLS-OFDM waveform design scheme combining alternating-current amplitude distribution and alternating-current and direct-current amplitude distribution, flexible balance among communication, perception and energy collection performance in an optical flux-inductance-energy integrated system is achieved, the complexity of the system can be reduced, and the system is made to be lighter and more compact.

The invention relates to the technical field of data processing, in particular to a three-dimensional displacement high-precision monitoring method and system for a seismic isolation support, and the method comprises the steps: obtaining acceleration data of the seismic isolation support in different axial directions and a spectrogram of each axial direction within a preset time period; according to the amplitude distribution condition of each frequency in each axial spectrogram, screening out a seismic main frequency, and according to the amplitude proportion condition of the seismic main frequency in each axial spectrogram, obtaining a relative energy value in each axial direction; correcting the acceleration data of each axial direction according to the correlation between the acceleration data of each axial direction and the acceleration data of other axial directions in combination with the distribution condition and the relative energy value of the acceleration data of each axial direction to obtain corrected data of each axial direction; and determining the three-dimensional displacement data of the shock insulation support based on the integral result of each axial correction data. According to the invention, other interference components can be effectively inhibited, and the monitoring precision of the seismic isolation support displacement data is improved.

The invention relates to the technical field of signal processing, in particular to a pipeline guided wave signal processing method and system. The method comprises the following steps: acquiring a multi-channel ultrasonic guided wave signal through a sensor array circumferentially arranged around a pipeline, and converting the multi-channel ultrasonic guided wave signal into a frequency domain response matrix; calculating a circumferential amplitude distortion degree based on the power spectrum amplitude distribution of each channel; constructing a modal coupling matrix by combining the circumferential amplitude distortion degree and the theoretical wave number of the ideal pipeline; correcting the standard orthogonal modal matrix to generate a modal projection matrix; and decomposing the frequency domain response matrix by using the projection matrix, and separating a structure echo component and a defect signal component. According to the method, the influence of geometric defects such as ovality deviation is evaluated more accurately, energy exchange between modeling modes is accurately established, and orthogonality hypothesis is corrected; modal energy leakage is inhibited, and the decomposition accuracy is improved; signals are effectively separated, coherent noise interference is solved, and the accuracy and reliability of pipeline defect detection are improved.

The invention discloses a U-Net-based multi-mode wind energy resource monthly scale prediction correction method and system, belongs to the technical field of wind energy resource evaluation and climate numerical value prediction crossing, and is used for correcting monthly scale wind speed output by a climate mode. According to the method, a climate state wind speed field is constructed by utilizing ERA5 reanalysis, and a monthly-scale 10m wind speed anomaly is calculated to serve as a correction reference; monthly-scale historical return data of a plurality of dynamic climate modes are obtained, 10m wind speed and multilayer meteorological elements are extracted, unified interpolation and standardization are carried out, and a sample set is formed; a U-Net correction model with a coding and decoding structure is constructed based on a sample set, feature combination and hyper-parameters are optimized through cross validation, and nonlinear mapping from a multi-mode forecast field to an ERA5 distance flat field is learned. And correcting future monthly scale forecast by using the optimal model, generating a wind speed product of which space structure and amplitude distribution are closer to observation, and providing high-credibility wind energy climate information for wind power planning, power generation planning and power grid dispatching.

The invention provides a component high-frequency signal transmission quality prediction and optimization method and system, and relates to the technical field of signal transmission, and the method comprises the steps: extracting the attenuation change rate of each frequency band based on the frequency domain characteristics and transmission path physical characteristic parameters of a to-be-transmitted signal of a component, and building a correlation function with a frequency band boundary position; calculating a transmission path terminal prediction loss spectrum and determining a compensation gain coefficient; performing frequency selective amplitude adjustment on the to-be-transmitted signal; and an actual received signal is collected and compared with the target frequency domain amplitude distribution, and the correlation function is updated. According to the invention, accurate prediction and adaptive optimization of high-frequency signal transmission quality are realized, and signal transmission integrity is improved.

The invention relates to the technical field of electromagnetic wave detection and imaging, and discloses a radar target echo generation method based on a physical information neural radiation field, which effectively improves the physical consistency of generated echo signals, accurately simulates the energy attenuation characteristics at different observation angles, and improves the radar target echo generation efficiency. The problem of signal completion under the sparse view angle condition is solved. The signal generated by the method is highly matched with measured data in the aspects of amplitude distribution, phase continuity and energy envelope form, a reliable data basis is provided for radar target identification and feature analysis, and the perception capability of a network on target geometric details is enhanced through high-dimensional position coding. Therefore, the generated echo signal can accurately reflect the spatial distribution characteristics of the scattering center. Meanwhile, due to the introduction of the multi-frequency coding sequence, the network can adaptively capture electromagnetic scattering characteristics under different scales, and a reliable technical means is provided for echo generation of a complex target.

The application relates to the technical field of image recognition, in particular to a precious metal quality defect detection method based on image recognition; a gray scale characteristic value of a pixel point is obtained according to the gray scale characteristics of the same pixel point in all detection images; a brightness deviation degree of the pixel point is obtained according to the difference characteristics of the gray scale characteristic values of the pixel point and multiple normal precious metals at the same position; different suspected defect regions are obtained according to the brightness deviation degrees of all the pixel points; and a defect confidence of the suspected defect region is obtained according to the distribution characteristics of the gray scale characteristic values and the gradient amplitude distribution characteristics of the pixel points in the suspected defect region. The application detects defects of the precious metal to be detected according to the defect confidence of the suspected defect region, and the accuracy of the surface defect detection of the precious metal is improved.

The invention provides a steel-concrete composite beam hogging moment region rigidity degradation rule calculation method and a storage medium, and belongs to the technical field of computer-aided calculation. The method comprises the following steps of S100, determining random fatigue loads borne by a hogging moment area of the steel-concrete composite beam, and calculating the amplitude S and the amplitude distribution rule of each fatigue load; s200, performing curve fitting on the amplitude distribution rule of the fatigue load, and determining a probability density function of the amplitude of the fatigue load; s300, determining the fatigue life of the hogging moment area of the steel-concrete composite beam; s400, the static load ultimate bearing bending moment of the hogging moment area of the steel-concrete composite beam is determined; s500, determining a rigidity reduction value of the hogging moment area of the steel-concrete composite beam during fatigue failure; and S600, calculating the rigidity degradation rule of the steel-concrete composite beam under the random fatigue load. According to the method, the rigidity degradation process of the hogging moment area of the steel-concrete composite beam can be calculated and predicted in advance, and a theoretical basis is provided for maintenance and repair of a bridge.

The present application belongs to the technical field of aircraft structure fatigue strength, and particularly relates to a method for converting a buffeting frequency spectrum of an aircraft structure into a fatigue load spectrum, comprising the following steps: Step 1: processing buffeting response load data of the aircraft structure to obtain a first-order bending modal characteristic frequency f1; Step 2: performing narrowband filtering on the buffeting response load data, and calculating a root mean square value σ of the filtered narrowband buffeting response load data; Step 3: performing rainflow counting on the filtered narrowband buffeting response load data to count the amplitude distribution of the narrowband buffeting response load data; fitting the amplitude distribution of the narrowband buffeting response load data with a Rayleigh distribution; and equivalently distributing the amplitude distribution fitted with the Rayleigh distribution to three typical load amplitudes; and Step 4: establishing a periodic step load spectrum according to the frequency of the three equivalent typical load amplitudes.

The invention provides a pipeline welding seam detection method and device based on magnetic memory. The method comprises the steps that magnetic memory signals of a tangential component and a normal component of a pipeline welding seam area are collected, and first magnetic charge density distribution caused by metal phase change and second magnetic charge density distribution caused by residual stress are calculated respectively based on amplitude distribution characteristics of the magnetic memory signals; performing coupling superposition on the distribution of the first magnetic charge density and the distribution of the second magnetic charge density to obtain total magnetic charge density distribution representing stress and phase change coupling; according to the total magnetic charge density distribution, calculating predicted magnetic signal distribution of the welding seam area through integration; and comparing and analyzing the predicted magnetic signal distribution and the magnetic memory signal, and when an inner peak and an outer peak appear in a normal component in a comparison result and an extreme value appears in a tangential component at a corresponding position, determining that a crack defect exists in a welding seam area, and generating a welding seam detection result. According to the method, the multi-parameter coupling effect can be comprehensively considered, the weld crack defect is accurately identified through comparative analysis, and the detection precision is improved.

This invention discloses a sparse method and related equipment for quadrant amplitude mapping arrays. The method, through recursive partitioning and a deterministic amplitude mapping mechanism, eliminates the randomness of traditional probabilistic methods, ensuring the uniqueness and stability of the output layout under the same input conditions, thereby significantly improving the repeatability and engineering reliability of the design results. The method in this embodiment achieves high-precision matching between amplitude distribution and cell position through sparse cell allocation based on recursive quadrant partitioning, significantly reducing sidelobe levels while lowering the standard deviation of performance fluctuations. Furthermore, the method in this embodiment is independent of specific array geometry and naturally supports rectangular, circular, and irregular arrays with internal obstacles through its recursive processing mechanism, demonstrating excellent versatility and flexibility, and can be widely applied in the field of data processing technology.

The invention discloses a quasi-true time delay broadband beam forming network with Chebyshev amplitude distribution. The quasi-true time delay broadband beam forming network comprises a 3 * 4 beam forming network, a 4 * 4 true time delay network, an input port, an output port and the like. The 3 * 4 beam forming network comprises first to tenth parallel double-line couplers, first to seventh open-short circuit stub loading transmission lines and first to fourth 50-ohm transmission lines; the 4 * 4 real time delay network comprises first to eleventh real time delay circuits and first to fourth connecting lines. Broadband Chebyshev amplitude output is obtained by setting different coupling coefficients of the first to tenth parallel double-line couplers. In-band flat phase difference output is obtained by setting phase shift values of the first to fourth 50-ohm transmission lines, phase shift values of the first to seventh open-short circuit stub loading transmission lines and impedance values and electrical lengths of the open-short circuit stubs; through controlling the first to eleventh true time delay circuits, the phase slope between the output ports has a frequency-dependent characteristic, and after the antenna is connected, a consistent beam direction in a broadband range is obtained.

The invention relates to the technical field of waterproof material quality detection, in particular to a waterproof roll process state measuring device and method. A surface height sequence measured through laser and contact is synchronously collected, and a surface fabric texture signal and a fabric structure compression fluctuation signal are determined; firstly, the relative displacement of the melt fabric is quantified by utilizing delay correlation between the two, so that the macroscopic process deviation caused by speed mismatch is directly identified; a nonlinear morphology residual error signal is stripped through translation correction and linear gain modeling, and the physical form of the defect is identified according to an amplitude distribution form characteristic value, so that local mutation caused by unplasticized particles and system smooth defects caused by excessive casting are effectively distinguished; the high-frequency texture attenuation rate and the linear correlation degree determined by the frequency domain transfer function are combined, and the microscopic reproduction capability of the melt is quantified to reflect the rheological state characteristics of the melt, so that single thickness detection is expanded into multi-dimensional feature decoupling diagnosis, and the accuracy of waterproof roll process state determination is improved.

Method for detecting a blocked state of a membrane of an ultrasonic sensor (4) of a vehicle (1), in which the membrane of the ultrasonic sensor (4) is excited to vibrate during an excitation phase (11), during a subsequent decay phase (12) a decay signal (13) is determined which describes a vibration of the membrane, and the blocked state of the membrane is detected on the basis of the decay signal (13), characterized in that an amplitude distribution of the decay signal (13) is determined, at least two statistical moments (S1, S2) of the amplitude distribution are determined and the blocked state is detected on the basis of the at least two statistical moments (S1, S2).

The invention discloses a metasurface device design method based on logic optical operation and an imaging device, and the method comprises the steps: receiving input initial parameter information, and setting a grating period corresponding to the initial parameter information according to a preset period setting rule; overlapping the grating period according to a preset grating overlapping function and the initial parameter information to obtain corresponding amplitude distribution information; performing matching mapping on the amplitude distribution information according to a preset transmittance distribution table to obtain size arrangement information of the microstructure; and setting the overall structure size according to the size information and the size arrangement information in the initial parameter information to obtain corresponding metasurface device design information. According to the method, the metasurface device design information is obtained, the metasurface device is obtained through design, the designed metasurface device is applied to the imaging device, optical logic operation is carried out on the incident image, the imaging image is accurately obtained, and the efficiency of carrying out optical logic operation on the image is greatly improved.

The invention discloses a full-space switchable nanoimprint and holographic display method based on a metasurface, and belongs to the field of micro-nano optics and holographic display. According to the metasurface-based full-space switchable nanoimprint and holographic display method, the metasurface used for achieving full-space switchable nanoimprint and holographic display is composed of nano antennas of different geometric dimensions, and the geometric dimensions and the arrangement mode of the metasurface are determined through an amplitude constrained phase holographic optimization algorithm; the amplitude distribution of the light field passing through the metasurface is restrained into binary image distribution in a real space, and holographic reconstruction is carried out in a wave vector k space. According to the sensitivity of the metasurface to the wavelength of incident light, three different optical modulation modes are realized under three wavelengths; the wavelength sensitivity of the metasurface is utilized to modulate a reflected light beam and a transmitted light beam under different incident light wavelengths, so that full-space switchable nanoimprint and holographic display are realized, and the metasurface can be applied to the fields of optical nanoimprint, counterfeiting prevention, optical switches, optical communication, display and the like.

The invention relates to a sleep physiological parameter detection method, device and equipment and a readable storage medium. The method comprises the following steps: acquiring an initial physiological parameter signal of a user through an acceleration sensor; calculating a first characteristic value, a second characteristic value and an information entropy of the initial physiological parameter signal segment; the first characteristic value represents the degree deviating from Gaussian normal distribution, the second characteristic value represents the steep degree of signal amplitude distribution, and the information entropy is used for measuring the uncertainty of signal distribution; calculating information reliability according to the first characteristic value, the second characteristic value and the information entropy; according to the information reliability, performing effectiveness screening on the initial physiological parameter signals to obtain effective signals; and carrying out signal separation processing on the effective signal to obtain a heartbeat signal, a respiration signal and a body movement signal. By adopting the method, the heartbeat signal, the respiration signal and the body movement signal can be effectively acquired.

A quasi-optical beamformer includes a plurality N>1 of power feeds (PF), each of the i∈[1; N] power feeds (PF) being configured to emit a respective radio-frequency beam denoted Ri, a radio-frequency transmission line (LT) fed at a first end by the power feeds and comprising at a second end a plurality of network ports (PR) that are configured to collect radio-frequency radiation, the transmission line (LT) comprising a radio-frequency waveguide (GO) that comprises at least two metal plates (PM) that are stacked so as to guide the radio-frequency beams Ri, i∈[1; N] towards the network ports (PR), the transmission line (LT) extending along a central main axis denoted axis x, a first reflector (M1) having a first centre (C1) centred on the axis x and a first effective radius of curvature and being configured to reflect the guided radio-frequency beams Ri, i∈[1; N], a second reflector (M2) having a second effective radius of curvature and being configured to reflect the radio-frequency beams (RFi) reflected by the first reflector so as to direct them towards the network ports so as to form output radio-frequency beams (RSi), the first and second effective radii of curvature and an arrangement of the power feeds (PF) with respect to the first reflector being configured so that: each of the output radio-frequency beams (RSi) is a plane wave, and a transverse amplitude distribution Ai, on the network ports (PR), of each output radio-frequency beam (RSi), is substantially identical.

The application discloses a phase-amplitude decoupling modulator for complex amplitude modulation, which comprises at least a first modulation layer, a second modulation layer and a phase-amplitude decoupling modulator, wherein the phase-amplitude decoupling modulator comprises a controller, a first excitation module and a second excitation module; the first excitation module inputs independent excitation signals to the first modulation pixel unit; and the second excitation module inputs independent excitation signals to the second modulation pixel unit. The application breaks through the shackles of low amplitude-phase modulation level, mutual restraint of phase-amplitude modulation effect, complex preparation process and the like, and can realize independent and multi-order amplitude modulation and phase modulation for complex amplitude complete information reconstruction, so that the resolution, amplitude distribution uniformity, precision, signal-to-noise ratio and other performances are improved, and the dynamic switching of images and the improvement of reconstructed image quality are completed.

The present application relates to the technical field of signal processing, and particularly relates to a pipeline guided wave signal processing method and system. The method comprises the following steps: acquiring multi-channel ultrasonic guided wave signals through a sensor array arranged circumferentially around a pipeline, and converting the signals into a frequency domain response matrix; calculating a circumferential amplitude distortion degree based on the amplitude distribution of the power spectrum of each channel; constructing a modal coupling matrix in combination with the circumferential amplitude distortion degree and an ideal pipeline theoretical wave number; generating a modal projection matrix by correcting a standard orthogonal modal matrix; and decomposing the frequency domain response matrix by using the projection matrix to separate a structure echo component and a defect signal component. The present application more accurately evaluates the influence of geometric defects such as ellipticity deviation, accurately models the energy exchange between modes and corrects the orthogonality assumption, suppresses modal energy leakage, improves the decomposition accuracy, effectively separates signals, solves the interference of coherent noise, and improves the accuracy and reliability of pipeline defect detection.

The invention relates to the technical field of image processing, in particular to a textile material surface defect detection system based on machine vision, the system comprises a processor and a memory, the processor executes a computer program of the memory to realize the following steps: obtaining a spectrogram of a textile material to be detected and the amplitude of each frequency component in the spectrogram, dividing the spectrogram into at least two initial sub-regions, acquiring a peak value prominence degree, an amplitude distribution obvious degree and a dominant frequency existence index of any initial sub-region, and according to the peak value prominence degree, the amplitude distribution obvious degree and the dominant frequency existence index of any initial sub-region, determining the dominant frequency existence index of any initial sub-region; adjusting any initial sub-region to obtain a target sub-region; and obtaining the target sub-region corresponding to each initial sub-region, obtaining the dominant frequency in each target sub-region, constructing the normal texture model, and carrying out surface defect detection on the to-be-woven material, so that the detection result of the surface defect of the textile material is improved.

The invention discloses an Airy beam generation method and device. The method comprises the following steps: S1, determining a working frequency and constructing the device; s2, establishing a corresponding relationship between the geometric parameters of the leaky wave unit and the leaky wave phase and amplitude; s3, solving one-dimensional Airy beam complex amplitude distribution; s4, reversely solving unit geometric parameters to realize target complex amplitude regulation and control; and S5, constructing the metasurface complex amplitude regulation and control device based on the one-way electromagnetic mode. According to the invention, the size of the metal block and the thickness of the air dielectric layer are independently regulated and controlled, so that complex amplitude regulation and control of transmission waves in a free space are realized; the metasurface device is simple and convenient in structural design, high in efficiency, easy to integrate and reconfigurable, can replace a spatial light modulator through a one-way waveguide phase regulation and control function, reduces the system cost, improves the integration level, and is suitable for on-chip integrated efficient free space wavefront control application.

The present disclosure relates to a mask phase type defect identification method, device, equipment and medium, the method comprises: collecting the light field reflection amplitude distribution of the mask phase type defect, converting the light field reflection amplitude distribution into spatial image sample data of the mask defect; the spatial image sample data is divided into spatial image sample data training set, spatial image sample data test set according to pre-set proportion;The spatial image sample data training set is labeled for defect type;The corresponding relationship between the result of the defect type labeling and the spatial image sample data training set is trained to build a defect identification model;The spatial image sample data test set is input into the defect identification model to obtain a defect identification result.

The application discloses a DDR reference voltage parameter adjustment method, system, device and storage medium, the method comprises the following steps: obtaining a digital eye diagram of a read direction of a DDR memory and a corresponding eye height amplitude distribution; excluding invalid sampling points caused by register range limitation from sampling points of the digital eye diagram to obtain a set of valid sampling points; determining a target optimization region according to the eye height amplitude distribution of the set of valid sampling points; optimizing a read direction Vref value of the target optimization region, and synchronously adjusting a write direction Vref value and a terminal resistance parameter; compiling the read direction Vref value, the write direction Vref value and the terminal resistance parameter after adjustment into configuration code to write into a test program of a DDR memory controller; running the test program and obtaining an optimized digital eye diagram until the eye height of the optimized digital eye diagram meets a preset tolerance; and the application can avoid interference of invalid sampling points caused by register range limitation, and realize accurate determination of an optimal Vref parameter combination.

The invention relates to the technical field of power fault discrimination, in particular to a power supply network ground fault discrimination method and system based on zero-sequence electrical parameter signals, and the method comprises the steps: obtaining various zero-sequence electrical parameter signals; decomposing the various zero-sequence electrical parameter signals, analyzing similarity measurement of amplitude distribution between the various zero-sequence electrical parameter signals and each IMF component, and determining a noise influence characteristic value of each IMF component of the various zero-sequence electrical parameter signals in combination with the confusion degree of each IMF component; determining a peak distribution characteristic value of each IMF component based on the overall fluctuation characteristic of the instantaneous energy intensity, and obtaining a noise influence coefficient of each IMF component; determining a wavelet denoising threshold value for each layer of each IMF component; and reconstructing all the de-noised IMF components to obtain various filtered zero-sequence electrical parameter signals, and carrying out ground fault judgment. The invention aims to improve the accuracy of ground fault judgment.

The invention discloses a real-time monitoring and optimizing device for signal quality of a quantum communication terminal, which relates to the field of quantum communication, and comprises a sensing module used for constructing a distributed sensing array based on non-local characteristics of quantum entanglement, performing real-time acquisition on quantum state amplitude distribution, coherence duration and de-coherence rate of a terminal output signal through a quantum state parameter acquisition mechanism; the mapping module is used for receiving the operation acquisition parameters of the sensing module, converting the operation acquisition parameters into a high-dimensional feature space through a quantum state feature mapping mechanism, and generating a quantum feature spectrum capable of identifying signal quality; according to the method, real-time accurate acquisition of parameters is realized by means of non-local characteristics of quantum entanglement, amplitude distribution, coherence duration and de-coherence rate are covered and converted to a high-dimensional space to generate a characteristic spectrum so as to accurately identify signal quality, and real-time output signal integrity and transmission credibility are evaluated based on quantum fidelity.

The invention provides a non-uniform double-pulse modulation method based on a TCM. The non-uniform double-pulse modulation method comprises the steps that 1, a non-uniform double-pulse period modulation model is constructed; 2, carrying out radar echo modulation analysis; 3, analyzing a pulse compression result; and step 4, regulation and control effect analysis based on a CFAR detector. According to the method, the key parameter of the time delay factor is innovatively introduced, the modulation flexibility and unpredictability are greatly improved through the collaborative design of three degrees of freedom, and the problems of insufficient flexibility and the like existing in a radar target feature regulation and control method are solved. Compared with a regulation and control method based on TCM uniform monopulse period modulation, the generated harmonic peak amplitude distribution is diversified, screening of regular signals by a radar CFAR detector is effectively avoided, and the number of effective harmonic peaks passing detection is remarkably increased. According to the invention, precise suppression or enhancement of specific-order harmonics can be realized, and a technical approach is provided for implementing flexible and dynamic radar target feature regulation and control.

This disclosure relates to a method and apparatus for generating a controllable source scanning signal based on compensation, which can improve the quality of seismic exploration data. The method includes: acquiring single-shot seismic record data of an exploration area; performing spectral analysis on the single-shot seismic record data to obtain an amplitude-frequency spectrum; dividing the amplitude-frequency spectrum into at least two frequency segments based on the amplitude distribution of the amplitude-frequency spectrum; calculating the compensation for the scanning duration of each frequency segment in the at least two frequency segments based on the amplitude distribution of the theoretical scanning spectrum, obtaining a reference scanning duration for each frequency segment aligned with the amplitude of the theoretical scanning spectrum; determining the target scanning duration for each frequency segment under a preset total scanning duration based on the reference scanning duration; and generating a target scanning signal for the exploration area by concatenating the start and end frequencies of each frequency segment and the corresponding target scanning duration.

This invention relates to the field of dynamic analysis and predictive control technology for hydraulic machinery, and discloses a method, device, equipment, and medium for locating hydraulic interference sources in pumped storage power stations. The method includes: constructing a non-uniform density monitoring network for the pumped storage power station; generating a spatial frequency domain matrix of characteristic frequency bands based on the non-uniform density monitoring network, the spatial frequency domain matrix including amplitude distribution and phase distribution; solving for the spatial location result of the interference source using a preset inversion algorithm based on the phase distribution; calculating the turbulent kinetic energy contribution rate based on the spatial location result of the interference source and the amplitude distribution, and conducting an energy risk assessment of the vortex system of the pumped storage power station based on the turbulent kinetic energy contribution rate. This invention achieves precise three-dimensional coordinate locking of hydraulic interference sources, calculates the turbulent kinetic energy contribution rate based on the interference source location result and amplitude distribution, realizes the energy risk assessment of the vortex system of the pumped storage power station, and provides sub-meter-level positioning and high-risk early warning capabilities for hydraulic vibration sources in a multi-machine system of a pumped storage power station.

The invention relates to the technical field of water pump performance testing, and particularly discloses an intelligent testing system and method for water pump performance, and the method comprises the following steps: S1, setting a monitoring point at a pump shell, collecting a vibration signal under the condition of sand-containing water quality, and carrying out the preprocessing to extract a high-frequency conduction vibration signal; s2, collecting sample data including conduction vibration signals and wear intensity in an operation period, obtaining an amplitude distribution curve according to the sample data, and calculating an amplitude wear coefficient; s3, a wear strength threshold value is set, and the wear rate of the water pump in the current sand-containing water quality environment is calculated in combination with the amplitude distribution curve and the amplitude wear coefficient; according to the invention, the accuracy of wear monitoring is improved, the conversion from passive maintenance to active prediction is realized, the operation reliability of the water pump system is obviously improved, and the service life of the water pump system is obviously prolonged.